「仅需一次前向推理，即可预测相机参数、深度图、点云与 3D 轨迹 ——VGGT 如何重新定义 3D 视觉？」 3D 视觉领域正迎来新的巨变。牛津大学 VGG (Visual Geometry Group) 与 Meta AI 团队联合发布的最新研究 VGGT（Visual Geometry Grounded Transformer），提出了一种基于纯前馈 ...

香港科技大学谭平教授团队与地平线（Horizon Robotics）团队最新发布了一项 3D 场景表征与大规模重建新方法 SAIL-Recon，通过锚点图建立构建场景全局隐式表征，突破现有 VGGT 基础模型对于大规模视觉定位与 3D 重建的处理能力瓶颈，实现万帧级的场景表征抽取与 ...

在 3D 人体姿态估计领域，现有方法存在忽视时空解剖知识、未关注关节间运动模式等问题。研究人员提出 Spatial-Temporal Enhanced Learning with an Anatomical graph transformer（STELA）。实验表明 STELA 性能卓越，减少参数且降低 MPJPE，为该领域发展提供新方向。 在当今科技 ...

After years of dominance by the form of AI known as the transformer, the hunt is on for new architectures. Transformers aren’t especially efficient at processing and analyzing vast amounts of data, at ...

The self-attention-based transformer model was first introduced by Vaswani et al. in their paper Attention Is All You Need in 2017 and has been widely used in natural language processing. A ...

Stop by Siemens booth and see this amazing demo. You can really see how a transformer works. Gene Wolf has been designing and building substations and other high technology facilities for over 32 ...